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Estimation and Projection of Non-Linear Relative Sea-Level Rise in the Seto Inland Sea,Japan
Authors:Han Soo Lee  Arata Kaneko
Institution:1. Graduate School of Science and Engineering, Saitama University, Saitama, Japan;2. International Institute for Resilient Society, Saitama University, Saitama, Japan;3. Graduate School of Engineering, Hiroshima University, Hiroshima, Japan
Abstract:Future sea-level rise (SLR) in and around the Seto Inland Sea (SIS), Japan, is estimated in 2050 and 2100 using ensemble empirical mode decomposition (EEMD) and long-term sea-level records. Ensemble empirical mode decomposition, an adaptive data analysis method, can separate sea-level records into intrinsic mode functions (IMFs) from high to low frequencies and a residual. The residual is considered a non-linear trend in the sea-level records. The mean SLR trend at Tokuyama in the SIS from EEMD is 3.00?mm?y?1 from 1993 to 2010, which is slightly lower than the recent altimetry-based global rate of 3.3?±?0.4?mm?y?1 during the same period. Uncertainty in SLR is estimated by considering interdecadal variations in the sea levels. The resulting SLR in 2050 and 2100 for Tokuyama is 0.19?±?0.06?m and 0.56?±?0.18?m, respectively. The stations along the coast of the Pacific Ocean display a greater and more rapid SLR in 2100 compared with other stations in the SIS. The SLR is caused not only by mass and volume changes in the sea water but also by other factors, such as local subsidence, tectonic motion, and river discharge. The non-linear trend of SLR, which is the residual from EEMD, is interpreted as the sum of the local factors that contribute to the sea-level budget.
Keywords:sea-level rise  ensemble empirical mode decomposition  Seto Inland Sea  trend and detrending  local subsidence
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